Director, Data Science
245 Summer St, Boston MA, United States
USD 126K-255K Executive-level Full Time
Tasks
- Apply causal inference techniques for incrementality
- Apply time series and probabilistic forecasting
- Define success metrics and evaluation frameworks
- Design and evaluate large language model solutions with RAG and benchmarking
- Design and evaluate statistical econometric and machine learning models
- Design experiments including A B tests and quasi experiments
- Develop segmentation clustering and uplift models
- Guide recommendation prioritization analytics with statistics optimization
- Lead hypothesis driven analyses
- Mentor data scientists through technical guidance and peer review
- Perform behavioral and journey analytics
- Set scientific rigor standards and governance
- Translate quantitative results into decision oriented narratives
Perks/Benefits
- Charitable giving employee match program
- Comprehensive health care
- Educational assistance
- Emotional wellbeing support
- Learning resources
- Paid time off
- Parental leave
- Retirement plan
- Student loan repayment
- Tuition reimbursement
Skills/Tech-stack
Bias auditing | Causal Inference | Classification | Data reproducibility | Decision Science | Difference-in-differences | Experimental Design | Forecasting | Hallucination detection | Language Models | Large Language Models | Machine Learning | NumPy | Optimization | Pandas | Power analysis | Probability | Prompt engineering | Propensity Modeling | Python | Retrieval-Augmented Generation | SQL | SciPy | Scikit-learn | Series analysis | Snowflake | Statistics | StatsModels | Time Series | Time Series Analysis | Uplift Modeling
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
Regions
Countries
States
Cities
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